Advancements in forest fire prevention: A comprehensive survey
Nowadays, the challenges related to technological and environmental development are
becoming increasingly complex. Among the environmentally significant issues, wildfires …
becoming increasingly complex. Among the environmentally significant issues, wildfires …
Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation
R Ghali, MA Akhloufi - Remote Sensing, 2023 - mdpi.com
The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …
various factors. Experts warn that the number of wildland fires will continue to increase in the …
Deep learning and transformer approaches for UAV-based wildfire detection and segmentation
Wildfires are a worldwide natural disaster causing important economic damages and loss of
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …
An improved forest fire detection method based on the detectron2 model and a deep learning approach
AB Abdusalomov, BMDS Islam, R Nasimov… - Sensors, 2023 - mdpi.com
With an increase in both global warming and the human population, forest fires have
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
Fire detection method in smart city environments using a deep-learning-based approach
K Avazov, M Mukhiddinov, F Makhmudov, YI Cho - Electronics, 2021 - mdpi.com
In the construction of new smart cities, traditional fire-detection systems can be replaced with
vision-based systems to establish fire safety in society using emerging technologies, such as …
vision-based systems to establish fire safety in society using emerging technologies, such as …
Optimized dual fire attention network and medium-scale fire classification benchmark
Vision-based fire detection systems have been significantly improved by deep models;
however, higher numbers of false alarms and a slow inference speed still hinder their …
however, higher numbers of false alarms and a slow inference speed still hinder their …
Monitoring and cordoning wildfires with an autonomous swarm of unmanned aerial vehicles
Unmanned aerial vehicles, or drones, are already an integral part of the equipment used by
firefighters to monitor wildfires. They are, however, still typically used only as remotely …
firefighters to monitor wildfires. They are, however, still typically used only as remotely …
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
Deep learning approaches for wildland fires using satellite remote sensing data: Detection, mapping, and prediction
R Ghali, MA Akhloufi - Fire, 2023 - mdpi.com
Wildland fires are one of the most dangerous natural risks, causing significant economic
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …
Rice yield prediction and model interpretation based on satellite and climatic indicators using a transformer method
As the second largest rice producer, India contributes about 20% of the world's rice
production. Timely, accurate, and reliable rice yield prediction in India is crucial for global …
production. Timely, accurate, and reliable rice yield prediction in India is crucial for global …